Volatility in today’s markets is driving innovation across the Asset Performance Management (APM) space, demanding new levels of operational excellence and more dynamic approaches to achieve company goals. A holistic solution looks beyond just optimizing maintenance processes to deliver Financially Optimized Asset Performance. AspenTech refers to this as Autonomous Reliability.

Pharma companies continue to strive for tight control of critical quality attributes (CQAs). When Ferring Pharmaceuticals wanted to move from batch to continuous manufacturing, they found that laboratory assays were too time consuming to provide meaningful feedback for real-time control, and 100% product quality inspection was not possible.

Los eventos inesperados pueden perturbar las operaciones y crear problemas prolongados de calidad y seguridad. Los operadores de primera línea pueden estar mal equipados con las herramientas o habilidades para analizar y rectificar rápidamente las perturbaciones. Afortunadamente, las nuevas aplicaciones de IA industrial ofrecen análisis y visualizaciones avanzadas para ayudar a los equipos a actuar rápidamente.

Warnings and alerts are not new in the industrial world as some predictive alerts can provide months of warning of catastrophic events. The challenge is how to prioritize and respond to these predictive alerts in a more systematic manner that benefits all areas of an organization.

The ability of bio-pharmaceutical manufacturers to deliver quality drug products during challenging market conditions is critical for ensuring sustainability over the long run. The COVID-19 pandemic underscored the need to transform the traditional bio-pharmaceutical supply chain to have greater agility and resiliency during market swings and periods of volatility.

This on-demand webinar explains the results in the State of Industrial AI 2021 research report.

In this webinar, the second in our series of Asset Performance Management (APM) webinars for data scientists, learn how APM applications help data science teams rapidly design and scale new solutions. See how complex and time-consuming tasks such as feature engineering, state classification and best model selection are greatly streamlined—without building customized tools. AspenTech expert Ashok Rao focuses on solving complex reactor problems in the chemicals industry. Learn how Aspen Maestro™ for Mtell and ProMV® enables you to:

Pharmaceutical companies, CDMOs and CMOs face growing pressures to deliver more products at a lower cost while ensuring the quality and security of supply. Advanced PAT technologies address these challenges by increasing saleable product through more consistent quality, higher yields and greater throughput. In addition, digitalization advances such as extensive connectivity, increased and elastic computing power, and advanced analytics have all continued to strengthen the accessibility and power of PAT to accelerate market growth.

Engenharia de recursos, classificação de estados e seleção do melhor modelo podem ser tarefas complexas e demoradas para as equipes de ciência de dados. Embora a construção de ferramentas personalizadas seja muitas vezes o primeiro instinto, as aplicações de hoje de Asset Performance Management (APM) embutidas com expertise industrial podem ajudar os cientistas de dados a acelerar o processo de projetar e dimensionar novas soluções mais rapidamente.

La ingeniería de datos (ingeniería de características), clasificación de estados y selección de modelos pueden ser tareas complejas y consumen gran parte del tiempo de los equipos de ciencia de datos. Si bien la creación de herramientas particulares suele ser el primer instinto, hay que tomar en cuenta que las aplicaciones actuales de Gestión del Desempeño de Activos (APM) que cuentan con experiencia industrial, pueden ayudar a los científicos de datos a acelerar estos procesos para diseñar y escalar nuevas soluciones rápidamente.